Do All Computing Distributed Systems by Georgiou Chryssis (38 results)

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Hardcover. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. 9780387309187 Sprache: Englisch Gewicht in Gramm: 550.

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Hardcover. Condition: new. Hardcover. Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity studies algorithmic issues associated with cooperative execution of multiple independent tasks by distributed computing agents including partitionable networks.Recent results have shed light on the understanding of how adversity affects efficiency, by presenting failure-sensitive upper and lower bounds for Do-All in several models for computation. The ability to cooperatively perform a collection of tasks is key to solving a broad array of computation problems ranging from distributed search to distributed simulation and multi-agent collaboration which is introduced within this book.Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity is structured to meet the needs of a professional audience composed of researchers and practitioners in industry. This volume is also suitable for graduate-level students in computer science. This book studies algorithmic issues associated with cooperative execution of multiple independent tasks by distributed computing agents including partitionable networks. It is the first monograph that deals with do-all computing for distributed systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condition: new. Paperback. Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity studies algorithmic issues associated with cooperative execution of multiple independent tasks by distributed computing agents including partitionable networks.Recent results have shed light on the understanding of how adversity affects efficiency, by presenting failure-sensitive upper and lower bounds for Do-All in several models for computation. The ability to cooperatively perform a collection of tasks is key to solving a broad array of computation problems ranging from distributed search to distributed simulation and multi-agent collaboration which is introduced within this book.Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity is structured to meet the needs of a professional audience composed of researchers and practitioners in industry. This volume is also suitable for graduate-level students in computer science. This book studies algorithmic issues associated with cooperative execution of multiple independent tasks by distributed computing agents including partitionable networks. It is the first monograph that deals with do-all computing for distributed systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity studies algorithmic issues associated with cooperative execution of multiple independent tasks by distributed computing agents including partitionable networks.Recent results have shed light on the understanding of how adversity affects efficiency, by presenting failure-sensitive upper and lower bounds for Do-All in several models for computation. The ability to cooperatively perform a collection of tasks is key to solving a broad array of computation problems ranging from distributed search to distributed simulation and multi-agent collaboration which is introduced within this book.Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity is structured to meet the needs of a professional audience composed of researchers and practitioners in industry. This volume is also suitable for graduate-level students in computer science.

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Condition: New. pp. 248.

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Hardcover. Condition: Brand New. 1st edition. 219 pages. 9.25x6.00x0.75 inches. In Stock.

Buch. Condition: Neu. Neuware -Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity studies algorithmic issues associated with cooperative execution of multiple independent tasks by distributed computing agents including partitionable networks.Recent results have shed light on the understanding of how adversity affects efficiency, by presenting failure-sensitive upper and lower bounds for Do-All in several models for computation. The ability to cooperatively perform a collection of tasks is key to solving a broad array of computation problems ranging from distributed search to distributed simulation and multi-agent collaboration which is introduced within this book.Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity is structured to meet the needs of a professional audience composed of researchers and practitioners in industry. This volume is also suitable for graduate-level students in computer science.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 248 pp. Englisch.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity studies algorithmic issues associated with cooperative execution of multiple independent tasks by distributed computing agents including partitionable networks.Recent results have shed light on the understanding of how adversity affects efficiency, by presenting failure-sensitive upper and lower bounds for Do-All in several models for computation. The ability to cooperatively perform a collection of tasks is key to solving a broad array of computation problems ranging from distributed search to distributed simulation and multi-agent collaboration which is introduced within this book.Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversityis structured to meet the needs of a professional audience composed of researchers and practitioners in industry. This volume is also suitable for graduate-level students in computer science.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity studies algorithmic issues associated with cooperative execution of multiple independent tasks by distributed computing agents including partitionable networks.Recent results have shed light on the understanding of how adversity affects efficiency, by presenting failure-sensitive upper and lower bounds for Do-All in several models for computation. The ability to cooperatively perform a collection of tasks is key to solving a broad array of computation problems ranging from distributed search to distributed simulation and multi-agent collaboration which is introduced within this book.Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversityis structured to meet the needs of a professional audience composed of researchers and practitioners in industry. This volume is also suitable for graduate-level students in computer science.

Paperback. Condition: Like New. Like New. book.

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Paperback. Condition: new. Paperback. Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity studies algorithmic issues associated with cooperative execution of multiple independent tasks by distributed computing agents including partitionable networks.Recent results have shed light on the understanding of how adversity affects efficiency, by presenting failure-sensitive upper and lower bounds for Do-All in several models for computation. The ability to cooperatively perform a collection of tasks is key to solving a broad array of computation problems ranging from distributed search to distributed simulation and multi-agent collaboration which is introduced within this book.Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity is structured to meet the needs of a professional audience composed of researchers and practitioners in industry. This volume is also suitable for graduate-level students in computer science. This book studies algorithmic issues associated with cooperative execution of multiple independent tasks by distributed computing agents including partitionable networks. It is the first monograph that deals with do-all computing for distributed systems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condition: new. Hardcover. Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity studies algorithmic issues associated with cooperative execution of multiple independent tasks by distributed computing agents including partitionable networks.Recent results have shed light on the understanding of how adversity affects efficiency, by presenting failure-sensitive upper and lower bounds for Do-All in several models for computation. The ability to cooperatively perform a collection of tasks is key to solving a broad array of computation problems ranging from distributed search to distributed simulation and multi-agent collaboration which is introduced within this book.Do-All Computing for Distributed Systems: Cooperation in the Presence of Adversity is structured to meet the needs of a professional audience composed of researchers and practitioners in industry. This volume is also suitable for graduate-level students in computer science. This book studies algorithmic issues associated with cooperative execution of multiple independent tasks by distributed computing agents including partitionable networks. It is the first monograph that deals with do-all computing for distributed systems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book studies algorithmic issues associated with cooperative execution of multiple independent tasks by distributed computing agents including partitionable networks. It provides the most significant algorithmic solution developed and available today for do-all computing for distributed systems (including partitionable networks), and is the first monograph that deals with do-all computing for distributed systems. The book is structured to meet the needs of a professional audience composed of researchers and practitioners in industry. This volume is also suitable for graduate-level students in computer science. 248 pp. Englisch.